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1. Leveraging-XGBoost-for-Text-Classification-on-Emotion-Recognition Leveraging-XGBoost-for-Text-Classification-on-Emotion-Recognition Public

   The study explores the application of XGBoost for emotion recognition in text data, focusing on preprocessing techniques, feature extraction, modelling, and performance evaluation. The model's resu…

   Jupyter Notebook 1

2. PID-and-Fuzzy-logic-for-Intelligent-Systems-and-Robotics PID-and-Fuzzy-logic-for-Intelligent-Systems-and-Robotics Public

   This repository features a TurtleBot control system using fuzzy logic and PID controllers for autonomous navigation. Tasks include right-edge following, obstacle avoidance, and real-time decision-m…

   Python 1

3. RossmannSales_FNN RossmannSales_FNN Public

   This repository features a Feedforward Neural Network (FNN) model for predicting Rossmann store sales using structured/tabular data. It includes preprocessing, feature engineering, and modeling to …

   Jupyter Notebook 1

4. movie-recommendation-system movie-recommendation-system Public

   Comprehensive movie recommendation system using machine learning, featuring collaborative filtering, content-based filtering, and a hybrid approach. Includes a Flask-based web application for user …

   Jupyter Notebook 1

5. ADHD-Outcome-Prediction-Data-Exploration-Preprocessing ADHD-Outcome-Prediction-Data-Exploration-Preprocessing Public

   I recently worked on a project analyzing behavioral, demographic, and neurological data to explore patterns in ADHD diagnosis. In Stage 1, I focused on data exploration and preprocessing, ensuring …

   Jupyter Notebook 2

6. Predicting-ADHD-sex Predicting-ADHD-sex Public

   Predicting ADHD & sex from fMRI and psychosocial data using ML. Includes preprocessing, model tuning, fairness evaluation, and LIME/SHAP explainability. Built for NHS decision support.

   Jupyter Notebook 1